scholarly journals Forecasting the Agriculture Output Values in China Based on Grey Seasonal Model

2020 ◽  
Vol 2020 ◽  
pp. 1-10
Author(s):  
Yan Chen ◽  
Li Nu ◽  
Lifeng Wu
Keyword(s):  
Economic Development ◽  
Agricultural Economic ◽  
Seasonal Variations ◽  
Prediction Accuracy ◽  
Animal Husbandry ◽  
Total Output ◽  
Developmental Trend ◽  
Seasonal Model ◽  
Different Seasons ◽  
Seasonal Data

The output values for agriculture, forestry, animal husbandry, and fishery are important indicators of agricultural economic development. Therefore, accurately predicting the output values for agriculture, forestry, animal husbandry, and fishery can capture the developmental trend and the optimize the structure. Agriculture, forestry, animal husbandry, and fishery are typical seasonal industries, and thus their output values vary greatly among different seasons. To accurately estimate the seasonal variations in the observed sequence and obtain better prediction results, the output values for agriculture, forestry, animal husbandry, and fishery in different quarters from 2018 to 2021 are predicted and analyzed by using the grey seasonal model (GSM). The results indicated that the prediction accuracy of GSM is relatively high. The output values for the agriculture, forestry, animal husbandry, and fishery as well as their total output value will increase gradually. It is an important achievement of structural reform under the new normal economic situation. In addition, the GSM provides a new method for predicting seasonal data.

scholarly journals Analysis on Measurement, Decoupling Effect and Influencing Factors of Agricultural Carbon Emissions in Major Grain Producing Areas—Taking Henan Province as An Example

2021 ◽  
Vol 261 ◽  
pp. 04030
Author(s):  
YiLin Shen ◽  
Shu Yu
Keyword(s):  
Economic Development ◽  
Agricultural Economic ◽  
Influencing Factors ◽  
Carbon Emissions ◽  
Henan Province ◽  
Total Output ◽  
Chemical Fertilizers ◽  
Decoupling Analysis ◽  
Decoupling Effect ◽  
First Time

Based on the scientific calculation of agricultural carbon emissions in Henan Province, the Tapio decoupling model is used to analyze its relationship with economic development, and its driving factors are analyzed in combination with the LMDI model. The results show that the total amount of agricultural carbon emissions in Henan Province from 2010 to 2019 is on the rise, of which chemical fertilizers are the largest source of carbon emissions. The decoupling analysis shows that before 2019, the weak decoupling between agricultural carbon emissions and the total output value of the planting industry was mainly weak, and a strong decoupling state appeared for the first time in 2019. This means that the level of agricultural economic development is the main force driving the growth of carbon emissions.

scholarly journals Agricultural Support Policies and China’s Cyclical Evolutionary Path of Agricultural Economic Growth

2021 ◽  
Vol 13 (11) ◽  
pp. 6134
Author(s):  
Xiangdong Guo ◽  
Pei Lung ◽  
Jianli Sui ◽  
Ruiping Zhang ◽  
Chao Wang
Keyword(s):  
Agricultural Economic ◽  
Agricultural Development ◽  
Animal Husbandry ◽  
Agricultural Policies ◽  
Growth Trend ◽  
Agricultural Economy ◽  
Growth Status ◽  
Growth Regime ◽  
Agricultural Support

Due to the weak nature of agricultural production, governments usually adopt supportive policies to protect food security. To discern the growth of agriculture from 2001 to 2018 under China’s agricultural support policies, we use the nonlinear MS(M)-AR(p) model to distinguish China’s agricultural economic cycle into three growth regimes—rapid, medium, and low—and analyze the probability of shifts and maintenance among the different regimes. We further calculated the average duration of each regime. Moreover, we calculated the growth regime transfers for specific times. In this study, we find that China’s agricultural economy has maintained a relatively consistent growth trend with the support of China’s proactive agricultural policies. However, China’s agricultural economy tends to maintain a low-growth status in the long-term. Finally, we make policy recommendations for agricultural development based on our findings that continue existing agricultural policies and strengthen support for agriculture, forestry, and animal husbandry.

scholarly journals Strategi Pemberdayaan Masyarakat di Masa Pandemi melalui Program Peduli Dampak Corona (APDC) di LAZ Dompet Dhuafa Cabang Malang

2021 ◽  
Vol 2 (2) ◽  
pp. 153-169
Author(s):  
Muhamad Faiz Abudalisa ◽  
M. Hafiar Baidlowi
Keyword(s):  
Economic Development ◽  
Qualitative Study ◽  
World Economy ◽  
Social Institutions ◽  
Animal Husbandry ◽  
Fish Farming ◽  
Phenomenological Approach ◽  
Community Empowerment ◽  
Artificial Ponds ◽  
Vegetables And Fruits

This study intends to provide a formulation of community empowerment strategies during the pandemic which is carried out by the Malang branch of the Dompet Dhu'afa zakat institution. So far, every zakat institution has focused programs on the community (not only mustahik), but the program is only sudden and not programmed. However, the community empowerment strategy carried out by Dompet Dhu'afa was very effective because it was followed by an accurate management pattern, proportional-based programs and economic development. This is important to research, considering that a community empowerment strategy has not been formulated which has become a national pilot in the midst of a weakening world economy. This research is a descriptive qualitative study with a phenomenological approach to social institutions. All data are primary and extracted based on interview and documentation guidelines, in the final stage it is presented after going through the triangulation process. From the results of this study, several important things were found, namely the implementation of the Aksi peduli Dampak Corona program (APDC) during the Covid-19 pandemic, namely: 1) fish farming in artificial ponds, a freshwater fish cultivation program managed directly by the surrounding community. using artificial pond media, 2) Empowered Farmers are farming activities in the form of local vegetables and fruits which are commodities in the Malang region. Which in turn is managed directly by the surrounding community and directly supervised by experts from planting, maintenance, harvesting, to marketing, 3) Animal husbandry is one of the Corona Impact Care Action movements, here Dompet Dhuafa East Java presents approximately 30 sheep to be managed by surrounding communities affected by this pandemic as well as the stock for distributing the Sacrificial Animal Spread program next year.

A New Fuzzy Support Vector Machine for Credit Scoring

2011 ◽  
Vol 109 ◽  
pp. 636-640
Author(s):  
Bo Tang ◽  
Min Xia
Keyword(s):  
Support Vector Machine ◽  
Economic Development ◽  
Prediction Accuracy ◽  
Credit Scoring ◽  
Fuzzy Membership ◽  
Support Vector ◽  
Good Prediction ◽  
Support Vector Machine Algorithm ◽  
Fuzzy Support Vector Machine ◽  
Good Prediction Accuracy

With China's rapid economic development, credit scoring has become very important. This paper presents a new fuzzy support vector machine algorithm used to solve the problems of credit scoring. The empirical results show that the proposed fuzzy membership model is valid ,the algorithm has good prediction accuracy and anti-noise ability.

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